iPhone 16 Pro CPU iPhone17,1
Geekbench AI Score
4495
Single Precision Score
7718
Half Precision Score
6153
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiKayule |
| Upload Date | October 12 2024 11:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8541
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
18076
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15105
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4203
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7684
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14089
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9750
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23539
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37106
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30582
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7045
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7007
121.1 IPS |
